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Artificial intelligence in radiation therapy / edited by Iori Sumida

Published
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]
Physical Description
1 online resource (various pagings) : illustrations (some color).
Additional Creators
Sumida, Iori and Institute of Physics (Great Britain)
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Series
Contents
1. Introduction / Iori Sumida -- 2. Artificial intelligence and machine learning / Omid Nohadani -- 3. Overview of AI applications in radiation therapy / Yang Sheng and Jiahan Zhang -- 4. Introduction to CT/MR simulation in radiotherapy / Iori Sumida and Noriyuki Kadoya -- 5. Organ delineation / Xiao Ying and Men Kuo -- 6. Automated treatment planning / Charles Huang and Lei Xing -- 7. Artificial intelligence in adaptive radiation therapy / Yi Wang, Bin Cai, Leigh Conroy and X. Sharon Qi -- 8. AI-augmented image guidance for radiation therapy delivery / Zhao Wei -- 9. AI for quality management in radiation therapy / Quan Chen, Yi Rong, Zhichao Wang and Tianye Niu -- 10. Data-driven approaches in radiotherapy outcome modeling / Ibrahim Chamseddine, Yejin Kim and Clemens Grassberger -- 11. Challenges in artificial intelligence development of radiotherapy / Huanmei Wu and Jay S. Patel.
Summary
The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow.
Subject(s)
ISBN
9780750333399 ebook
9780750333382 mobi
9780750333375 print
9780750333405 myPrint
Audience Notes
More experienced practitioners and researchers and members of medical physics communities such as AAPM, ASTRO, and ESTRO.
Note
"Version: 20221201"--Title page verso.
Bibliography Note
Includes bibliographical references.
Other Forms
Also available in print.
Technical Details
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Biographical or Historical Sketch
Dr. Iori Sumida is currently Director, Physics and Clinical support, Accuray. Japan, K.K., as well as invited faculty, Osaka University Graduate School of Medicine, Department of Radiation Oncology.
View MARC record | catkey: 39985899